GenAI Solution Architect (banking)

We are seeking an experienced GenAI Solution Architect to lead the design and delivery of enterprise-grade Generative AI solutions within a regulated financial services environment. The role focuses on taking GenAI use cases from concept through to secure, scalable production deployment.

Key Responsibilities

• Design end-to-end GenAI architectures (LLMs, embeddings, RAG, prompt orchestration)

• Architect cloud-native GenAI platforms (AWS/Azure/GCP)

• Design and implement vector search solutions (eg Pinecone, FAISS, Weaviate)

• Lead PoCs, pilots, and production rollouts

• Guide engineering teams on performance, scalability, and cost optimisation

• Ensure responsible AI, security, and regulatory compliance

• Translate business requirements into robust technical solutions

Essential Skills & Experience

• Senior Solution/AI Architect background

• Strong Generative AI & LLM experience (OpenAI, Anthropic, Llama, Gemini, etc.)

• Hands-on experience with RAG pipelines, prompt engineering, fine-tuning

• GenAI frameworks: LangChain, LlamaIndex or similar

• Solid Python, API design, microservices experience

• Experience with MLOps platforms (MLflow, SageMaker, Vertex AI, Azure ML)

• Strong knowledge of vector databases and embeddings

• Experience working in regulated environments (Banking/FS preferred)

Nice to Have

• TOGAF or cloud architecture certifications

• Kubernetes/Docker

• Experience deploying GenAI at enterprise scale

• Knowledge of model evaluation and hallucination mitigation techniques